Inspiration
- We love dogs and want to share it w the world (Twitter)!!
- This can definitely be extended to other applications, but we decided to narrow it to dogs
What it does
- Display image of a dog (or literally anything) to the user,
- Interpret user's facial reaction of the image using sentiment analysis,
- Calculate user's rating of the image,
- Post the rating and the image on the user's Twitter account (@susanscfae)
How I built it
Twitter API Tensorflow QT Principal Component Analysis MATLAB
Challenges I ran into
- Data collection was difficult in a noisy data collection because of the time of night at which the data collection was conducted
- Using a loaned laptop from the MLH hardware lab meant that there were a lot of development tormentor tools that had to be set up: GitHub, python, MATLAB, tensor-flow. Overall these challenges were identified and solved in a timely manner
Accomplishments that I'm proud of
- GUI for this application
- General improvement in tester's mood after looking at our doggos
- Working with tensorflow
What I learned
- Using tensorflow
- Using PyQt
What's next for Spot
Using this for other applications. Here are some of our ideas:
- How a person's initial reaction to a product influences their purchase decision
- Gauge general confidence in the financial market
- Assessment of a general wellbeing
- Predicting how well group/teams of people will work together
- Focus groups for a product
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